清晨好,您是今天最早来到科研通的研友!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您科研之路漫漫前行!

Tethered UAV-active defense against intelligent cluster

计算机科学 星团(航天器) 人工智能 计算机安全 计算机网络
作者
Yawei Ren,Yang Zeng,Jun Li
出处
期刊:International Journal of Intelligent Computing and Cybernetics [Emerald Publishing Limited]
标识
DOI:10.1108/ijicc-03-2025-0127
摘要

Purpose With the development of wireless networks and artificial intelligence technology, unmanned aerial vehicle (UAV) clusters are widely used in various fields and cluster intelligence attacks are more harmful. However, most methods defending against UAV clusters produce consumption of non-reusable resources. To address this problem, a tethered UAV is adopted to perform active defense against adversary UAV clusters in this article, which can reduce the consumption of nonreusable resources. Design/methodology/approach Using tethered UAV to enter the opponent’s UAV cluster and analyze the flow of packets in adversary UAV cluster to find and occupy the central node. The tethered UAV can acquire and analyze key packets by deploying a grayhole attack at the location of the central node, after which the packets are selectively tampered with and discarded to cripple the opposing UAV cluster. Findings Comparing packet loss rate and delay with a normal network and the network that suffered from grayhole attack, it can be seen that the proposed scheme makes the tethered UAV close to the normal nodes in the UAV cluster and difficult to be detected. In addition, the tethered UAV is able to capture more packets compared to the other two networks, and the average deviation of the tethered UAV in capturing packets is around 5% in repeated experiments. Originality/value This article proposes an active defense method assisted by tethered UAV, which can minimize the consumption of nonreusable resources. The tethered UAV is converged to ordinary nodes of the opponent’s cluster, in which it is not easily detected. It provides a new direction for point-air defense technology.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
炜大的我应助科研通管家采纳,获得10
3秒前
25秒前
30秒前
小椰子完成签到,获得积分10
32秒前
记上没文献了完成签到 ,获得积分10
39秒前
清风完成签到,获得积分10
1分钟前
1分钟前
俏皮夏瑶完成签到,获得积分10
1分钟前
1分钟前
轻舞完成签到,获得积分10
1分钟前
LMY1470完成签到,获得积分10
1分钟前
调皮的烤鸡完成签到,获得积分10
1分钟前
HanaTerbush完成签到,获得积分10
1分钟前
GinaLundhild06完成签到,获得积分10
1分钟前
踏实麦片完成签到,获得积分10
1分钟前
yunsui完成签到,获得积分10
1分钟前
卡卡东完成签到 ,获得积分10
1分钟前
小小油完成签到,获得积分10
1分钟前
炜大的我应助科研通管家采纳,获得10
2分钟前
ZYD完成签到 ,获得积分10
2分钟前
胡萝卜完成签到,获得积分10
2分钟前
2分钟前
蓝梦诗音完成签到 ,获得积分10
3分钟前
3分钟前
gszy1975完成签到,获得积分10
3分钟前
YiXianCoA完成签到 ,获得积分10
3分钟前
楚科研完成签到 ,获得积分10
3分钟前
小李老博完成签到,获得积分10
4分钟前
4分钟前
4分钟前
ykings发布了新的文献求助10
5分钟前
NexusExplorer应助里昂义务采纳,获得10
5分钟前
WSR完成签到,获得积分10
5分钟前
coolru应助pierre采纳,获得10
5分钟前
黑球完成签到,获得积分10
5分钟前
5分钟前
里昂义务发布了新的文献求助10
5分钟前
6分钟前
英俊的铭应助科研通管家采纳,获得10
6分钟前
炜大的我应助科研通管家采纳,获得10
6分钟前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 500
What is the Future of Psychotherapy in Digital Age? Technology, AI Bots, and Psychotherapy after Covid 444
Management and the Arts 310
Teaching Social and Emotional Learning in Physical Education 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7634100
求助须知:如何正确求助?哪些是违规求助? 9208130
关于积分的说明 19748248
捐赠科研通 7202436
什么是DOI,文献DOI怎么找? 3275015
关于科研通互助平台的介绍 2436932
邀请新用户注册赠送积分活动 2271918